Advisor, Data Science

Data Science Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore. What you’ll achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Partner with internal and external teams to understand customer requirements and develop proposals Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights Implement preliminary data exploration and data preparation steps for model development/validation Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. Solution, build, deploy and setup monitoring for models and thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 5 to 8 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI and working experience in data visualization (e.g., Power BI, matplotlib, plotly) with hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management and expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks Proficiency in Python programming, with expertise in libraries such as numpy, pandas, scipy, spacy, gensim, TensorFlow, and/or Pytorch and knowledge of Multi-Modal RAG, Agentic RAG, Langchain, Hugging Face Transformers, and vector embeddings. Experience with CI/CD tools, containerization (Docker, Kubernetes), and version control systems (Git) along with expertise in correlation analysis and feature selection techniques to identify key drivers and relationships in data. Experience with advanced regression models, including linear and non-linear regression, as well as ensemble methods like Random Forest and Gradient Boosting for predictive modeling. Proficiency in feature selection and dimensionality reduction techniques. Experience with model explainability and interpretability techniques using tools like SHAP and LIME. Desirable Requirements Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ) along with experience with cloud platforms (e.g., AWS, Azure, GCP) or with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). Skilled in programming languages like Java or JavaScript.Expertise in monitoring, observability, and performance tuning using tools like P ... (truncated, view full listing at source)